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<table width="100%" summary="page for diabetes {qruleset}"><tr><td>diabetes {qruleset}</td><td align="right">R Documentation</td></tr></table>
<h2>diabetes</h2>


<h3>Description</h3>

<p>
Patient classification data set.
</p>


<h3>Usage</h3>

<pre>data(diabetes)</pre>


<h3>Format</h3>

<p>
A data frame with 768 observations on the following 9 variables.
<dl>
<dt><code>pragnet</code></dt><dd>a numeric vector</dd>
<dt><code>glucose_conc</code></dt><dd>a numeric vector</dd>
<dt><code>blood_press</code></dt><dd>a numeric vector</dd>
<dt><code>skin_thickness</code></dt><dd>a numeric vector</dd>
<dt><code>serum_insulin</code></dt><dd>a numeric vector</dd>
<dt><code>BMI</code></dt><dd>a numeric vector</dd>
<dt><code>pedigree_fun</code></dt><dd>a numeric vector</dd>
<dt><code>age</code></dt><dd>a numeric vector</dd>
<dt><code>class</code></dt><dd>a classification character vector of 2 values: 1 for diabetic and 0 for not</dd>
</dl>

<h3>Details</h3>

<p>
The classification is based on 8 patient parameters e.g. age, BMI, fat thickness, pregnancy and more.
</p>


<h3>Source</h3>

<p>
http://archive.ics.uci.edu/ml
</p>



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